GPT-6.1 Terra Pro (batch) vs Mistral Large 2407
| Signal | GPT-6.1 Terra Pro (batch) | Delta | Mistral Large 2407 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Pricing | 98 | +4 | |
Context window size | 96 | +14 | |
Recency | 100 | +98 | |
Output Capacity | 82 | +1 | |
| Overall Result | 5 wins | of 5 | 0 wins |
Score History
40
current score
Mistral Large 2407
right now
65.9
current score
GPT-6.1 Terra Pro (batch)
OpenAI
Mistral Large 2407
Mistral AI
GPT-6.1 Terra Pro (batch) saves you $325.00/month
That's $3900.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.
| Metric | GPT-6.1 Terra Pro (batch) | Mistral Large 2407 | Winner |
|---|---|---|---|
| Overall Score | 40 | 66 | Mistral Large 2407 |
| Rank | #181 | #145 | Mistral Large 2407 |
| Quality Rank | #181 | #145 | Mistral Large 2407 |
| Adoption Rank | #181 | #145 | Mistral Large 2407 |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 131K | GPT-6.1 Terra Pro (batch) |
| Pricing | $0.50/$2.50/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-6.1 Terra Pro (batch) |
| Pricing | 98 | 94 | GPT-6.1 Terra Pro (batch) |
| Context window size | 96 | 81 | GPT-6.1 Terra Pro (batch) |
| Recency | 100 | 2 | GPT-6.1 Terra Pro (batch) |
| Output Capacity | 82 | 80 | GPT-6.1 Terra Pro (batch) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #181), placing it in the top 38% of all 290 models tracked.
Scores 66/100 (rank #145), placing it in the top 50% of all 290 models tracked.
Mistral Large 2407 has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-6.1 Terra Pro (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1050K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose Mistral Large 2407 when you need:
- Budget-friendly applications with moderate quality requirements
GPT-6.1 Terra Pro (batch) offers 63% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-6.1 Terra Pro (batch) vs $120.00/month with Mistral Large 2407 - a $75.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-6.1 Terra Pro (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (66/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Large 2407 clearly outperforms GPT-6.1 Terra Pro (batch) with a significant 25.900000000000006-point lead. For most general use cases, Mistral Large 2407 is the stronger choice. However, GPT-6.1 Terra Pro (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-6.1 Terra Pro (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-6.1 Terra Pro (batch)
63% lower pricing; better value at scale
Best for Reliability
GPT-6.1 Terra Pro (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-6.1 Terra Pro (batch)
Stronger community support and better developer experience
Best for Production
GPT-6.1 Terra Pro (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 63% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-6.1 Terra Pro (batch) | Mistral Large 2407 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
GPT-6.1 Terra Pro (batch)
OpenAI
Mistral Large 2407
Mistral AI
GPT-6.1 Terra Pro (batch) saves you $6.90/month
That's 64% cheaper than Mistral Large 2407 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-6.1 Terra Pro (batch) | Mistral Large 2407 |
|---|---|---|
| Context Window | 1.1M | 131K |
| Max Output Tokens | 128,000 | 104,857 |
| Open Source | No | No |
| Created | Oct 26, 2026 | Nov 19, 2024 |